Paper Info
Title
An opportunistic scheduler to balance performance measures and energy consumption in wireless networks: design and implementation.
Abstract
Energy management is critical for emerging tiny wireless mobiledevices such as sensors and PDAs, which are power limited bythe capacity of their batteries. The energy cost of wireless trans- mission is high, being superlinear in the communication distance.Even an idle node that is turned on but otherwise not engaged inany activity may consume a significant amount of energy. Basedon the observation that reduced communication distance betweentwo communicating parties can significantly reduce the energy costof the communication, we propose a motion prediction algorithm thatexploits the movement history of a sender node to predict the likelihoodthat the node may move closer to the receiver by a given deadline.If the likelihood is high, then the transmission is postponed until themobile node moves closer to the receiver at a future time. To reduceunproductive energy use by an idle node, we propose a sleep/wakeup algorithm that adaptively puts the node into sleep mode. However,while a mobile node is sleeping, it may miss critical opportunities forposition update and motion prediction. The objective of this paper isthen to realize an opportunistic scheduler that can balance theenergy consumption by an idle system and the performance of motionprediction in saving energy for network transmission. The proposed system has been prototyped on an actual sensor network platform.Experimental results show that our opportunistic scheduler can achievesignificant energy savings in terms of both network communicationand keeping the system awake as necessary.
Year
DOI
Venue
2005
10.1109/WICON.2005.8
WICON
Keywords
Field
DocType
mobile node,energy management,energy saving,themobile node move,idle node,wireless networks,balance performance measures,energy consumption,energy costof,sender node,energy cost,opportunistic scheduler,energy use,capacitive sensors,wireless network,mobile computing,mobile communication,mobile device,scheduling,sensor network,wireless sensor networks,energy conservation
Mobile computing,Energy management,Wireless network,Energy conservation,Scheduling (computing),Computer science,Computer network,Real-time computing,Sleep mode,Wireless sensor network,Energy consumption
Conference
ISBN
Citations 
PageRank 
0-7695-2382-X
2
0.45
References 
Authors
9
3
Name
Order
Citations
PageRank
Yu Dong163.53
David K. Y. Yau223018.15
John C.S. Lui33680279.85